Offloading Data Distribution Management to Network Processors in HLA-Based Distributed Simulations

The high-level architecture (HLA) standard developed by the Department of Defense in the United States is a key technology to perform distributed simulation. Inside the HLA framework, many different simulators (termed federates) may be interconnected to create a single more complex simulator (federa...

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Published in:IEEE transactions on parallel and distributed systems Vol. 19; no. 3; pp. 289 - 298
Main Authors: Santoro, A., Fujimoto, R.M.
Format: Journal Article
Language:English
Published: New York IEEE 01.03.2008
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Communication system traffic control
Computation
Computer networks
Computer simulation
Design concepts
Distributed
Distributed decision making
Distributed systems
Distributed/Internet based software engineering tools and techniques
Distribution management
Federations
Internet
Networks
Parallel systems
Processors
Runtime
Simulators
Software engineering
Standards development
Telecommunication traffic
Traffic control
Design concepts
Distributed systems
Parallel systems
Distributed/Internet based software engineering tools and techniques
Distributed
ISSN:1045-9219, 1558-2183
Online Access:Get full text
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Abstract The high-level architecture (HLA) standard developed by the Department of Defense in the United States is a key technology to perform distributed simulation. Inside the HLA framework, many different simulators (termed federates) may be interconnected to create a single more complex simulator (federation). Data distribution management (DDM) is an optional subset of services that controls which federates should receive notification of state modifications made by other federates. A simple DDM implementation will usually generate much more traffic than needed, whereas a complex one might introduce too much overhead. In this work, we describe an approach to DDM that delegates a portion of the DDM computation to a processor on the network card in order to provide more CPU time for other federate and Runtime Infrastructure (RTI) computations while still being able to exploit the benefits of a complex DDM implementation to reduce the amount of information exchange.
AbstractList The high-level architecture (HLA) standard developed by the Department of Defense in the United States is a key technology to perform distributed simulation. Inside the HLA framework, many different simulators (termed federates) may be interconnected [abstract truncated by publisher].
The high-level architecture (HLA) standard developed by the Department of Defense in the United States is a key technology to perform distributed simulation. Inside the HLA framework, many different simulators (termed federates) may be interconnected to create a single more complex simulator (federation). Data distribution management (DDM) is an optional subset of services that controls which federates should receive notification of state modifications made by other federates. A simple DDM implementation will usually generate much more traffic than needed, whereas a complex one might introduce too much overhead. In this work, we describe an approach to DDM that delegates a portion of the DDM computation to a processor on the network card in order to provide more CPU time for other federate and Runtime Infrastructure (RTI) computations while still being able to exploit the benefits of a complex DDM implementation to reduce the amount of information exchange.
Author Fujimoto, R.M.
Santoro, A.
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crossref_primary_10_1177_0037549712450628
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SubjectTerms Communication system traffic control
Computation
Computer networks
Computer simulation
Design concepts
Distributed
Distributed decision making
Distributed systems
Distributed/Internet based software engineering tools and techniques
Distribution management
Federations
Internet
Networks
Parallel systems
Processors
Runtime
Simulators
Software engineering
Standards development
Telecommunication traffic
Traffic control
Title Offloading Data Distribution Management to Network Processors in HLA-Based Distributed Simulations
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Volume 19
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